Method for correcting color image and black-and-white image based on double-camera face identification

Abstract

The invention discloses a method for correcting a color image and a black-and-white image based on double-camera face identification. A double-camera plate with a black-and-white camera and a color camera is connected with a computer for correction. The method is characterized in that: a correction plate is also used. The method comprises the following steps of: 1) determining the widths and heights of screened image frames; 2) determining a rectangular image correction frame; 3) screening double qualified cameras; 4) installing the double qualified cameras in a face identification machine; 5) positioning human eyes in the image frames; 6) determining the relative positions of two eyes in the color image and the black-and-white image; 7) moving the color image; 8) cutting the color image; and 9) storing correction parameters. By adoption of the method, the problem that when a face is located at the edge of a color image frame, a complete face image which is displayed by the face identification machine cannot be accurately identified is effectively solved; identification rate, identification accuracy and identification speed can be remarkably improved; false rejection rate is reduced; and particularly, a product can be highly appreciated by a customer.

Description

technical field [0001] The invention relates to facial recognition, in particular to a method for correcting color images and black-and-white images based on dual-camera facial recognition. Background technique [0002] Most of the existing facial recognition machines use a black-and-white camera and a color camera, that is, dual cameras. The images obtained on the facial recognition machine interface include visible color images and invisible black and white images behind them. Color images are designed for visual enjoyment of users, but black and white images are actually used for image recognition. Due to the influence of the left and right arrangement of the cameras, when the image captured by the color camera is on the edge of the image display frame, the image captured by the black and white camera at the same time does not display a complete image in the face recognition machine. At this time, the user is confirming that the My complete facial image is displayed in t...

AI Technical Summary

Problems solved by technology

Due to the influence of the left and right arrangement of the cameras, when the image captured by the color camera is on the edge of the image display frame, the image captured by the black and white camera at the same time does not display a complete image in the face recognition machine. At this time, the user is confirming that the My complete facial image is displayed in the facial recognition machine, but in fact, the facial recognition machine has never been able to recognize myself. At present, there is no practical method to correct the display problems of the above-mentioned color images and black and white images, which not only causes customers Confusion, but also bring adverse consequences of low recognition rate, high rejection rate, and reduced customer praise

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